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Field
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researcher position with an anticipated duration of 16 months, to work under the direction of Dr. Melissa Lucash. In our lab, we use a variety of tools (e.g. big data, spatially explicit simulation modeling
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to 1) compile a global database of existing information about physiological responses of cattle and other livestock to humid heat and 2) to use these data, coupled with spatially explicit forecasts
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`liquid-liquid phase separation' (LLPS). We will use programmable, multi-component model systems of biomolecular phase separation to investigate the transport of biomolecular information, stress, and light
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-based-modelling. This post-doc will be responsible for conducting these tasks. The spatial microsimulation will create maps that cover the pilot areas and show where demand for either social services
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required Experience analyzing wearable device data including accelerometer and GPS data, as well as experience with spatial data analysis Demonstrated publication record in high quality peer-reviewed
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cultured human and rodent cardiomyocytes, engineered heart tissues, and animal models of heart development and disease. Specifically, you will engage in basic science and applied research to explore
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SPACE Group (Spatial Prostate Assessment and the Circulating Environment) is newly established at Barts Cancer Institute (BCI), Centre for Cancer Evolution, after 6 years in Oxford. You will have
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marine realms. For this, a suite of thematic VREs will be developed that allow an easy-to-use application of models on available and harmonized biodiversity and environmental data. Both projects provide
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SPACE Group (Spatial Prostate Assessment and the Circulating Environment) is newly established at Barts Cancer Institute (BCI), Centre for Cancer Evolution, after 6 years in Oxford. You will have
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Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Founda...
Area of research: Scientific / postdoctoral posts Job description: Postdoc "Interferometric SAR Data Processing and Analysis for Implementation in the 3D-ABC Foundation Model" (m/f/d) Background